DocumentCode
2196316
Title
A Performance Evaluation of Energy Efficient Schemes for Green Office Networks
Author
Le Nguyen, Phi ; Morohashi, Tomo ; Imaizumi, Hideaki ; Morikawa, Hiroyuki
Author_Institution
Grad. Sch. of Frontier Sci., Univ. of Tokyo, Tokyo, Japan
fYear
2010
fDate
15-16 April 2010
Firstpage
1
Lastpage
9
Abstract
Power consumption in office networks has become a major issue due to its running cost. In order to reduce the power consumption, several approaches have been proposed such as Energy Efficient Ethernet (EEE) and Energy Efficient Wireless aggregation (EEW). In this research, we develop an analytical model and apply the model to evaluate and compare performance of the existing technologies. The parameters of interest include the number and the average throughput of clients. Our analysis results show that EEW is more efficient than EEE with a small number of clients or low average throughput. Motivated by this result, we examine the possibility of conserving more power by introducing a combination of EEE and EEW, called EEEW. EEEW can take advantage of both EEE as well as EEW and should be very strong against the varying conditions of the network. We found that when the average throughput of clients is less than 0.5Mbps, the combination can save more than 66% of the power consumed by EEE. We also describe EEEWS, a combination of EEEW and link-sleep techniques which presents a further power saving potential.
Keywords
energy conservation; environmental factors; performance evaluation; power consumption; wireless LAN; energy efficiency; energy efficient ethernet; energy efficient wireless aggregation; green office networks; performance evaluation; power consumption; Application software; Classification tree analysis; Computer vision; Conferences; Energy efficiency; Humans; Manifolds; Support vector machine classification; Support vector machines; Surveillance;
fLanguage
English
Publisher
ieee
Conference_Titel
Green Technologies Conference, 2010 IEEE
Conference_Location
Grapevine, TX
Print_ISBN
978-1-4244-5274-3
Electronic_ISBN
978-1-4244-5275-0
Type
conf
DOI
10.1109/GREEN.2010.5453777
Filename
5453777
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